Engineering velocity can be a competitive advantage when it helps teams deliver useful, secure changes sooner—not when it merely increases coding output. Reducing avoidable waits can help security fixes and product improvements move forward, but automated delivery can also push vulnerabilities or misconfigurations into production faster if teams do not detect and correct them early. The practical goal is therefore faster flow with security built into the work.
What engineering velocity means in cybersecurity
Engineering velocity is how readily a team can move a useful change from an idea to production. It includes the time work spends waiting for review, security input, infrastructure, testing, or a handoff—not just how quickly developers write code. A team that produces code rapidly but leaves changes stalled or discovers serious issues late may have high coding output without high delivery velocity.
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NIST describes DevOps as bringing development and operations together to shorten cycles, promote agility, and accelerate remediation and feature delivery. DevSecOps extends that approach by integrating security throughout the software lifecycle. NIST’s Secure Software Development Framework (SSDF) is intended to help business owners, developers, project managers and leads, and cybersecurity professionals communicate about secure development practices.
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Why delays matter—and why speed alone is not enough
When a security fix or improvement waits in a queue, the organization may take longer to address a known issue or deliver a needed protection. Shorter, more predictable delivery cycles can make it easier to move such work forward. That is a plausible operational benefit, not proof that velocity by itself produces better security outcomes.
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NIST’s lifecycle framing calls for security across development, build and test automation, artifact packaging and distribution, and release and deployment. It also warns that automated production flows can propagate security risks quickly when issues are not caught and corrected early. Automation can therefore amplify both throughput and mistakes: the key is whether useful feedback and effective controls arrive before an unsafe change reaches production.
Practices that can reduce waiting without removing safeguards
These approaches are worth evaluating in context; none guarantees a particular delivery or security result.
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- Give teams end-to-end service ownership. Clear responsibility can reduce time lost figuring out who must act on a change or incident.
- Reduce unnecessary handoffs. Bring the people who can make decisions into the workflow early, rather than treating security review as a distant final gate.
- Automate useful checks and feedback. Pipeline checks can make security issues visible during development and delivery, when teams can still respond in the flow of work.
- Make safer choices easier by default. Secure infrastructure modules and templates for compliant workflows can help teams avoid repeatedly solving the same configuration problem.
These are themes in Konstantinos Dolkas’s September 29, 2026, CIO opinion article, “Engineering velocity is a competitive advantage in modern cybersecurity.” Drawing on his own experience, Dolkas argues for service ownership, fewer waits, and practical guardrails. He writes, “I prefer guardrails that are built into the way teams already work, including pipelines with security scanning, infrastructure modules that are secure by default and templates that make the compliant path easy to follow.” This is his stated preference, not a universal rule or independently measured result. In the same article, he recounts release cycles moving from weeks to days; that is his account of an experience, not a result that can be generalized to other organizations.
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How to assess whether a delivery approach is both fast and safe
Compare workflows across the whole path from proposed change to production. A short coding phase does not compensate for long queues, late feedback, or controls that fail to stop an unsafe release.
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| What to examine | Useful question |
|---|---|
| Delivery and waiting time | How long does work take from initiation to production, and where does it wait for review, testing, infrastructure, or a decision? |
| Security coverage | Are security practices present across development, build and test, packaging and distribution, and release and deployment? |
| Feedback quality and speed | Do checks return actionable information early enough for the team to correct a problem within its normal workflow? |
| Ownership and handoffs | Is it clear who owns a service and who can resolve issues, or does work repeatedly move between teams? |
| Production safeguards | Can the process detect risky changes and prevent them from reaching production when they have not been adequately addressed? |
These criteria help distinguish faster flow from simply moving risk downstream. Teams should interpret them against their services, threat exposure, and organizational risk rather than treating a single cycle-time target as a security measure.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Using NIST guidance without treating an example as a universal blueprint
NIST’s National Cybersecurity Center of Excellence (NCCoE) project demonstrates risk-based DevSecOps practices aligned with SSDF using modern pipelines and commercially available technology. Its March 24, 2026 live-document release includes an Azure-based example implementation. NIST describes the material as evolving, with additional implementations and findings expected; it is an example to learn from, not a final blueprint for every organization.
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Organizations can use the SSDF to structure conversations about secure development practices, then adapt pipeline checks, ownership, and release controls to their own risk. The NCCoE DevSecOps project offers a practical illustration of how such practices can be implemented. Neither source establishes a quantified competitive gain from increasing engineering velocity.
What the competitive-advantage claim does—and does not—establish
The case for engineering velocity is strongest as an operational argument: avoidable waiting can impede remediation and improvement, while integrating security into delivery can make timely feedback and correction part of the normal process. The CIO article makes that case as an opinion informed by its author’s experience; NIST supports lifecycle integration and risk-based practice, not a measured causal claim that higher velocity improves security or business performance by a specific amount. Organizations should look for evidence in their own delivery and security outcomes rather than assume that faster is automatically safer or more competitive.
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